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Root-N Consistent Semiparametric Eestimators of a Dynamic Panel Sample Selection Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Christelle Viauroux, G.L. Gayle
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Abstract. This paper considers the problem of identification and estimation in panel data sample selection models with a binary selection rule when the latent equations contain possible predetermined variables, lags of the dependent variables, and unobserved individual effects. The selection equation contains lags of the dependent variables from both the latent and the selection equations as well as other possible predetermined variables relative to the latent equations. We derive a set of conditional moment restrictions that are then exploited to construct a three-step GMM sieve estimator for the parameters of the main equation including a nonparametric estimator of the sample selection term. In the second-step the unknown parameters of the selection equation are consistently estimated using a transformation approach in the spirit of Berkson’s minimum chi-square sieve method and a first-step kernel estimator for the selection probability. This second-step estimator is of interest in its own right: it can be used to semiparametrically estimate a panel data binary response model with correlated random effects without making any distributional assumptions. We show that both estimators (second and third stage) are vn-consistent and asymptotically normal.
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Paper provided by University of Cincinnati, Department of Economics in its series University of Cincinnati, Economics Working Papers Series with number
2004-05.
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Length: 68 pages
Date of creation: 2004Date of revision:
Handle: RePEc:cin:ucecwp:2004-05Contact details of provider: Postal: Cincinnati, OH 45221-0371 Phone: (513) 556-2670 Fax: (513) 556-2669 Email: Web page: http://asweb.artsci.uc.edu/economics/ More information through EDIRC
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Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007.
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Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007.
"The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models ,"
CIRANO Working Papers
2007s-06, CIRANO.
[Downloadable!] Mohnen, Pierre & Raymond, Wladimir & Palm, Franz & Schim van der Loeff, Sybrand, 2007.
"The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models ,"
UNU-MERIT Working Paper Series
007, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
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